ARTICLEMonolith Recommendation Systems
Questions this item adddesses:
- What are monolith based Recommendation Systems?
- What is a Meta-level Hybrid Recommendation System?
- What is Feature Combination Hybrid Recommendation System?
How to use this item?
Section 6.7 and 6.6 The basic idea behind a monolith Recommendation System is to combine features from one recommendation system and use it as features for another Recommendation System.
Section 6.7 1. Meta-Level Hybrids: The model learned by one recommender is used as input to the next one. eg, build a user-word matrix for a restaurant recommender system and use this this to compute the the peer group and use that info along with a Collaborative methods to build one final Recommendation System.
Section 6.8: Feature Combination Hybrids: The basic idea is to combine the input data from various sources into a unified representation and use an existing technique to build a Recommendation System. For example: Augmenting the ratings matrix by adding columns for keywords obtained from knowledge-based systems.
Author(s) / creator(s) / reference(s)
Ensemble based and Hybrid Recommender Systems
- Learning Objectives
- Gives a basic idea of combining multiple individual recommendation systems to build a robust high-performing Recommendation System
- Potential Use Cases
- Build a Hybrid Recommendation System that combines the strengths and avoids the weakness of different techniques for building a Recommendation System.
- Target Audience
- INTERMEDIATEPeople with familiarity with various Recommendation System Building techniques like collaborative filtering, knowledge and content based recommendations,
- What are hybrid Systems?
- Why do we need hybrid systems?
- What are ensemble based systems and why do we need them?
- What is a Weighted Ensemble?
- What is a Switching Ensemble?
- What is a Cascade Ensemble?
- What is a Feature Augmentation Ensemble?
- What are monolith based Recommendation Systems?
- What is a Meta-level Hybrid Recommendation System?
- What is Feature Combination Hybrid Recommendation System?
- What are mixed Hybrids? Why do we need them?
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